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Hi!
I would like to try MultiMAP for integrating a variety of datasets on a specific protein family.
This includes classical omics data like RNA-seq or targeted metabolomics, and also structural inf…
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We'll want to have lots of easy options for comparing ECTS:
* Standard L_p distances should be a one line command from scipy.distance
* Version of distance where we find the minimum L_p distance bet…
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Hello pyRiemann folks :)
I have been doing some work with online Riemannian Potatoes and I'm having a hard time reconciling the math and algorithms outlined in https://hal.archives-ouvertes.fr/hal…
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When working with a huge number of observations, conventional computation of distance matrices might become problematic in terms of memory. Sparse matrices seem a simple and efficient alternative to a…
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I didn't quite understand the details from your explanations in the "matrices" section. Is this parameter used for inputting vehicle costs?
Is it possible to explain more about this matter?
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It is currently not possible to access the `frechetCorrelationESS` function directly, adding `export(frechetCorrelationESS)` to the namespace file fixes this (Same for `approximateESS` etc.), would be…
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Currently the distance matrices can only be left out or computed fully during the input creation.
We may want to offer calculating partial/full distance matrices from existing inputs.
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Hi there, thanks a million for this library.
I am trying to figure out how compute distances between every row(or column) of two matrices e.g. like `torch.cdist`.
Here is one way:
```python
def …
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It would be really useful to have a multivariate regression for distance matrices in Python. It seems like the only one currently implemented is Adonis in R, and that isn't a regression, it's a MANOVA…
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It would be nice if matrices of distances between two languages could be properly modeled in CLDF. There are various alternatives for doing this:
- a `DistanceTable`, referencing source and target la…